Does the “ViT-L/14” support conversion to TensorRT parameter files?

[gyd-a]

Code file name "clip_txt.py":
_MODELS = [
'RN50::openai',
'RN50::yfcc15m',
'RN50::cc12m',
'RN101::openai',
'RN101::yfcc15m',
'RN50x4::openai',
'ViT-B-32::openai',
'ViT-B-32::laion2b_e16',
'ViT-B-32::laion400m_e31',
'ViT-B-32::laion400m_e32',
'ViT-B-16::openai',
'ViT-B-16::laion400m_e31',
'ViT-B-16::laion400m_e32',
# older version name format
'RN50',
'RN101',
'RN50x4',
# 'RN50x16',
# 'RN50x64',
'ViT-B/32',
'ViT-B/16',
# 'ViT-L/14',
# 'ViT-L/14@336px',
]

'ViT-L/14' is commented out. Whether it can be opened and converte "ViT-L/14" model file.

[gyd-a]

https://forums.developer.nvidia.com/t/tensorrt-inference-api-that-open-clip-vit-l-14-is-slowing-down/309551/3
My successful convertion. "ViT-L/14" ---> .onnx ---> .trt
But inference with the tensorrt framework is slower. Is this a normal phenomenon? The link above has some details.